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    Analyzing Large P Small N Data - Examples from Microbiome

    Guest Post by Bill Shannon, Co-Founder and Managing Partner of BioRankings Introduction High throughput screening technologies have been developed to measure all the...

    The importance of structure, coding style, and refactoring in notebooks

    Notebooks are increasingly crucial in the data scientist's toolbox. Although considered relatively new, their history traces back to systems like...

    Data Science at The New York Times

    Chris Wiggins, Chief Data Scientist at The New York Times, presented "Data Science at the New York Times" at Rev. Wiggins advocated that data...

    Emotional Intelligence for Data Science Teams

    We surveyed and interviewed some of our most successful customers to learn how they align their data science team with their business. The challenges...

    What Data Scientists Should Know About Hiring, Sharing, and Collaborating

    In this post we summarize some of our most recent and favorite answers on Quora to questions from the community about hiring junior data scientists,...

    Principles of Collaboration in Data Science

    Data science is no longer a specialization of a single person or small group. It is now a key source of competitive advantage, and as a result, the...

    Introducing the Data Science Maturity Model

    Many organizations have been underwhelmed by the return on their investment in data science. This is due to a narrow focus on tools, rather than a...

    The "Joel Test" for Data Science

    It's the sixteenth anniversary of Joel Spolsky's "Joel Test," which he described as a "highly irresponsible, sloppy test to rate the quality of a...

    Reproducible Research in Computational Sciences

    This guest post was written by Arnu Pretorius, a Masters student in Mathematical Statistics at the MIH Media Lab, Stellenbosch University. Arnu's...

    Data Science Platform: What is it? Why is it Important?

    As more companies recognize the need for a [data science platform], more vendors are claiming they have one. Increasingly, we see companies...

    Providing Digital Provenance: from Modeling through Production

    At last week's useR! R User conference, I spoke on digital provenance, the importance of reproducible research, and how Domino has solved many of the...

    Ugly Little Bits of the Data Science Process

    This morning there was a great conversation on Twitter, kicked off by Hadley Wickham, about one of the ugly little bits of the data science process. ...